In addition to mixed models, we will use latent growth modeling to assess indirect paths to test potential mediators of the relationship between our conditions and outcome variables. The program that will be used for these analyses is Mplus (Muthen & Muthen, 1998). We will use hypothesis driven tests of mediation. Briefly, we will compare nested models: one with direct and indirect paths, and the second with indirect paths only (but without the direct path). If the difference between the models (using the χ2 difference test) is not significant than we don't need the direct path, and this will support the hypothesis of mediation. For example, we will assess whether a significant CALM-D effect on decreasing depression is due to increased medication adherence. In Core D we specify how we will combine data across projects for tests of mediation.